Abstract
Object recognition plays a major role in human behaviour research in the built environment. Computer based object recognition techniques using images as input are challenging, but not an adequate representation of human vision. This paper reports on the differences in object shape recognition between human vision and computer vision. To this end, we explore an image-based recognition algorithm and a model-based recognition algorithm. Experiments were conducted using these two algorithms given images generated by Radiance lighting simulation software. The results reveal significant differences between human vision and computer vision given various conditions in the testing images and in the testing room.
Original language | English |
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Title of host publication | Conference proceeding of 10th International Conference on Design & Decision Support Systems in Architecture and Urban Planning |
Place of Publication | Eindhoven |
Pages | CD-ROM- |
Publication status | Published - 2010 |
Event | 10th International Conference on Design and Decision Support Systems, (DDSS2010) - Evoluon, Eindhoven, Netherlands Duration: 19 Jul 2010 → 22 Jul 2010 Conference number: 10 |
Conference
Conference | 10th International Conference on Design and Decision Support Systems, (DDSS2010) |
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Abbreviated title | DDSS2010 |
Country/Territory | Netherlands |
City | Eindhoven |
Period | 19/07/10 → 22/07/10 |
Other | 10th International Conference om Design and Decision Support Systems in Architecture and Urban Planning, TU/e Eindhoven, 19-22 July 2010 |